Triple

T718840
Position Surface form Disambiguated ID Type / Status
Subject Kuwait E14370 entity
Predicate currency P245 FINISHED
Object Kuwaiti dinar E70698 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Kuwaiti dinar | Statement: [Kuwait, currency, Kuwaiti dinar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kuwaiti dinar
Context triple: [Kuwait, currency, Kuwaiti dinar]
  • A. Kuwaiti dinar chosen
    The Kuwaiti dinar is the official currency of Kuwait and is known for having one of the highest exchange values in the world.
  • B. Qatari riyal
    The Qatari riyal is the official national currency of Qatar, issued by the Qatar Central Bank and commonly used in all financial transactions throughout the country.
  • C. Jordanian dinar
    The Jordanian dinar is the official currency of Jordan and one of the region’s more stable and widely used Middle Eastern currencies.
  • D. Iraqi dinar
    The Iraqi dinar is the official fiat currency of Iraq, issued by the Central Bank of Iraq and subdivided into 1,000 fils.
  • E. Saudi riyal
    The Saudi riyal is the official monetary unit of Saudi Arabia, used nationwide for all financial transactions and pegged to the US dollar.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a4934a36e081909e7abef98b898a4e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a58d4c3c8190ad4527d14bca5e6e completed March 1, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a64a5a7e788190b5ad2505b68ca48d completed March 3, 2026, 2:41 a.m.
Created at: March 1, 2026, 7:37 p.m.